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Business
Lokad OpenShell - 1.0 |
Open source (BSD) PowerShell snap-in featuring CmdLets dedicated to time-series forecasting. Time-series forecasts are used for sales forecasting, staff scheduling, resource planning, inventory management (among many others).
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Software Description:
Open source (BSD) PowerShell snap-in featuring CmdLets dedicated to time-series forecasting. Time-series forecasting includes demand forecasting, sales analysis, inventory planning, retail prediction, production forecast, prices predictions, staff scheduling, resource optimization ... Technically, Lokad OpenShell interacts with the Lokad Web Services. Lokad specializes in business time-series forecasting. Upload your data and download your forecasts.
The CmdLets available are: Add-TimeValue, Clear-TimeValues, Connect-Lokad, Disconnect-Lokad, Get-Forecast, Get-ForecastingTasks, Get-TimeSerieDetails, Get-TimeSeries, New-ForecastingTask, New-TimeSerie, Remove-ForecastingTask, Remove-TimeSerie.
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| Software Requirements: |
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Microsoft PowerShell
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| This software is designed to run on the following operating systems: |
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Windows 2000, Windows, Windows XP, Windows 2003, Windows Vista Starter, Windows Vista, Windows Vista Home Basic, Windows Vista Home Premium, Windows Vista Business, Windows Vista Enterprise, Windows Vista Ultimate, Windows Vista Home Basic x64, Windows Vista Home Premium x64, Windows Vista Business x64, Windows Vista Enterprise x64, Windows Vista Ultimate x64
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| Keywords: |
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Time, Analysis, Statistics, Forecasting, Series, Powershell, Cmdlets
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| Lokad Desktop Workload Forecasting 1.0.0 | 573.0 KB | Freeware | | | Deliver workload forecasts. Best suited for call centers and staff managers (retail, restaurants, hostels, ...). Too much staff and money is wasted. Too few staff and customers get mad. Scheduling optimization is a cornerstone of profitability. Get the right amount of staff at the right time through workload forecasting.Get customizable reports with hour, half-hour and quarter-hour aggregation for your forecasts. Retrieve historical data... |
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